arbiter
JournalsPricingAccount

BayesMortalityPlus: A Package in R for Bayesian Mortality Modeling

Lucas M. F. Silva et al.

Journal of Statistical Software2025https://doi.org/10.18637/jss.v113.i09article
ABDC A
Weight
0.37

What the paper says

The BayesMortalityPlus package provides a framework for modeling and predicting mortality data. The package includes tools for the construction of life tables based on Heligman-Pollard laws, and also on dynamic linear smoothers. Flexibility is available in terms of modeling so that the response variable may be modeled as Poisson, binomial or Gaussian. If temporal data is available, the package provides a Bayesian implementation for the well-known Lee-Carter model that allows for estimation, projection of mortality over time, and assessment of uncertainty of any linear or nonlinear function of parameters such as life expectancy. Illustrations are considered to show the capability of the proposed package to model mortality data.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.18637/jss.v113.i09

Or copy a formatted citation

@article{lucas2025,
  title        = {{BayesMortalityPlus: A Package in R for Bayesian Mortality Modeling}},
  author       = {Lucas M. F. Silva et al.},
  journal      = {Journal of Statistical Software},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.18637/jss.v113.i09},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

BayesMortalityPlus: A Package in R for Bayesian Mortality Modeling

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.